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A multi-centre polyp detection and segmentation dataset for generalisability assessment

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arXiv 2021年

作者： Ali, Sharib Jha, Debesh Ghatwary, Noha Realdon, Stefano Cannizzaro, Renato Salem, Osama E. Lamarque, Dominique Daul, Christian Riegler, Michael A. Anonsen, Kim V. Petlund, Andreas Halvorsen, Pål Rittscher, Jens de Lange, Thomas East, James E. School of Computing University of Leeds LeedsLS2 9JT United Kingdom Institute of Biomedical Engineering Department of Engineering Science University of Oxford OxfordOX3 7DQ United Kingdom Oxford National Institute for Health Research Biomedical Research centre OxfordOX4 2PG United Kingdom Translational Gastroenterology Unit Experimental Medicine Div. John Radcliffe Hospital University of Oxford OxfordOX3 9DU United Kingdom SimulaMet Pilestredet 52 Oslo0167 Norway Department of Computer Science UiT The Arctic University of Norway Hansine Hansens veg 18 Tromsø9019 Norway Computer Engineering Department Arab Academy for Science and Technology Smart Village Giza Egypt Veneto Institute of Oncology IOV-IRCCS Via Gattamelata 64 Padua35128 Italy Medical Department Sahlgrenska University Hospital-Mölndal Blå stråket 5 Göteborg413 45 Sweden CRO Centro Riferimento Oncologico IRCCS Aviano Italy Via Franco Gallini 2 Aviano PN 33081 Italy Université de Versailles St-Quentin en Yvelines Hôpital Ambroise Paré 9 Av. Charles de Gaulle Boulogne-Billancourt92100 France Faculty of Medicine University of Alexandria Alexandria21131 Egypt CRAN UMR 7039 Université de Lorraine CNRS Vandœuvre-Lès-NancyF-54010 France Department of Molecular and Clinical Medicine Sahlgrenska Academy University of Gothenburg Göteborg41345 Sweden Augere Medical Nedre Vaskegang 6 Oslo0186 Norway Oslo Metropolitan University Pilestredet 46 Oslo0167 Norway Oslo University Hospital Ullevål Kirkeveien 166 Oslo0450 Norway Machine & Hybrid Intelligence Lab Department of Radiology Northwestern University Chicago United States

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp’s number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to automate polyp detection and segmentation. However, the main issue is that they are not tested rigorously on a large multicentre purpose-built dataset, one reason being the lack of a comprehensive public dataset. As a result, the developed methods may not generalise to different population datasets. To this extent, we have curated a dataset from six unique centres incorporating more than 300 patients. The dataset includes both single frame and sequence data with 3762 annotated polyp labels with precise delineation of polyp boundaries verified by six senior gastroenterologists. To our knowledge, this is the most comprehensive detection and pixel-level segmentation dataset (referred to as PolypGen) curated by a team of computational scientists and expert gastroenterologists. The paper provides insight into data construction and annotation strategies, quality assurance, and technical validation. Our dataset can be downloaded from https://***/10.7303/syn26376615. © 2021, CC BY.

关键词： Quality assurance

Model Predictive Control for an Inverted-pendulum Robot with Time-varying Constraints

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IFAC-PapersOnLine 2017年第1期50卷 776-781页

作者： Ohhira T. Shimada A. Div. of Electrical Engineering and Computer Science Graduate School of Engineering and Science Shibaura Institute of Technology 3-9-14 Shibaura Minato-ku Tokyo 108-8548 Japan Dept. of Engineering and Design Shibaura Institute of Technology 3-9-14 Shibaura Minato-ku Tokyo 108-8548 Japan

This study proposes a movement control system for a two-wheel inverted pendulum (IP) type robot, which is a personal robot that interacts with people. Safety and stability are important parameters in designing a robot for personal use. To achieve this, model predictive control (MPC) may be a suitable control technique. The controller presented in this study ensures safety in relation to velocity and stability by imposing time-invariant constraints on the controller input and body tilt angle. Finally, we present good validation results from a movement-control simulation of an IP robot. © 2017

关键词： Inverted Pendulum (IP) Robot Model Predictive Control (MPC) Movement Control Real-time Optimization Time-Varying Constraint

Development of Anti-Cavitation Hydrophone-Study on the Novel Hydrophone with New Cap Structure Titanium Front Plate

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Development of Anti-Cavitation Hydrophone-Study on the Novel...

IEEE International Ultrasonics Symposium

作者： Michihisa Shiiba Mayu Yahagi Takeshi Morishita Nagaya Okada Minoru K. Kurosawa Shinichi Takeuchi Department of Clinical Engineering Nihon Institute of Medical Science Moroyama Japan Research and Development Div. HONDA ELECTRONICS CO. LTD. Toyohashi Japan Department of Information Processing Tokyo Institute of Technology Yokohama Japan Department of Clinical Engineering Toin University of Yokohama Yokohama Japan

We had been developing the anti-cavitation hydrophone by deposition of hydrothermally synthesized lead zirconate titanate poly-crystalline film on the reverse side of the titanium front plate without damage even by measurement in high intensity ultrasound field with inertial acoustic cavitation. In this hydrophone, when exposed to a powerful ultrasonic sound field of an ultrasonic cleaner in which acoustic cavitation occurs, the front plate, the back plate and the outer conductor which had been adhered with the adhesive peeled off and broke. We have to re-design the basic structure of the robust type anti-cavitation hydrophone to solve this problem. In this study, we made a new type of hydrophone with a front plate and an outer conductor set in by changing the structure of the front plate. This new hydrophone showed durability that does not break even when it is exposed to a high intensity ultrasound sound field in a tank of an ultrasonic cleaner in which acoustic cavitation is occurring. Durability test in the water tank of ultrasound cleaner, the new anti-cavitation hydrophone had no significant decrease in sensitivity even after 14 hours of ultrasound exposure.

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Considerations and Recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 — In vivo small-animal imaging

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arXiv 2022年

作者： Jelescu, Ileana O. Grussu, Francesco Ianus, Andrada Hansen, Brian Barrett, Rachel L.C. Aggarwal, Manisha Michielse, Stijn Nasrallah, Fatima Syeda, Warda Wang, Nian Veraart, Jelle Roebroeck, Alard Bagdasarian, Andrew F. Eichner, Cornelius Sepehrband, Farshid Zimmermann, Jan Soustelle, Lucas Bowman, Christien Tendler, Benjamin C. Hertanu, Andreea Jeurissen, Ben Verhoye, Marleen Frydman, Lucio de Looij, Yohan van Hike, David Dunn, Jeff F. Miller, Karla Landman, Bennett A. Shemesh, Noam Anderson, Adam McKinnon, Emilie Farquharson, Shawna Acqua, Flavio Dell Pierpaoli, Carlo Drobnjak, Ivana Leemans, Alexander Harkins, Kevin D. Descoteaux, Maxime Xu, Duan Huang, Hao Santin, Mathieu D. Grant, Samuel C. Obenaus, Andre Kim, Gene S. Wu, Dan Le Bihan, Denis Blackband, Stephen J. Ciobanu, Luisa Fieremans, Els Bai, Ruiliang Leergaard, Trygve B. Zhang, Jiangyang Dyrby, Tim B. Johnson, G. Allan Cohen-Adad, Julien Budde, Matthew D. Schilling, Kurt G. Department of Radiology Lausanne University Hospital University of Lausanne Lausanne Switzerland CIBM Center for Biomedical Imaging Ecole Polytechnique Fédérale de Lausanne Lausanne Switzerland Radiomics Group Vall d’Hebron Institute of Oncology Vall d’Hebron Barcelona Hospital Campus Barcelona Spain Queen Square MS Centre Queen Square Institute of Neurology Faculty of Brain Sciences University College London London United Kingdom Champalimaud Research Champalimaud Foundation Lisbon Portugal Center of Functionally Integrative Neuroscience Aarhus University Aarhus Denmark Department of Neuroimaging Institute of Psychiatry Psychology and Neuroscience King's College London London United Kingdom NatBrainLab Department of Forensics and Neurodevelopmental Sciences Institute of Psychiatry Psychology and Neuroscience King's College London London United Kingdom Russell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University School of Medicine BaltimoreMD United States Maastricht University Medical Center Maastricht Netherlands The Queensland Brain Institute The University of Queensland Queensland Australia Melbourne Neuropsychiatry Centre The University of Melbourne ParkvilleVIC Australia Department of Radiology and Imaging Sciences Indiana University IN United States Stark Neurosciences Research Institute Indiana University School of Medicine IN United States Center for Biomedical Imaging NYU Grossman School of Medicine New YorkNY United States Faculty of psychology and Neuroscience Maastricht University Maastricht Netherlands Department of Chemical & Biomedical Engineering FAMU-FSU College of Engineering Florida State University TallahasseeFL United States Center for Interdisciplinary Magnetic Resonance National HIgh Magnetic Field Laboratory TallahasseeFL United States Department of Neuropsychology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany USC Stevens Neuroimaging and Informatics Instit

Small-animal diffusion MRI (dMRI) has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. The steps from animal setup and monitoring, to acquisition, analysis, and interpretation are complex, with many decisions that may ultimately affect what questions can be answered using the resultant data. This work aims to present selected recommendations and guidelines from the diffusion community, on best practices for preclinical dMRI of in vivo animals. We describe the general considerations and foundational knowledge that must be considered when designing experiments. We briefly describe differences in animal species and disease models and discuss why some may be more or less appropriate for different studies. We then give guidelines for in vivo acquisition protocols, including decisions on hardware, animal preparation, and imaging sequences, followed by advice for data processing including pre-processing, model-fitting, and tractography. Finally, we provide an online resource which lists publicly available preclinical dMRI datasets and software packages, to promote responsible and reproducible research. In each section, we attempt to provide guides and recommendations, but also highlight areas for which no guidelines exist (and why), and where future work should focus. While we mainly cover the central nervous system (on which most preclinical dMRI studies are focused), we also provide, where possible and applicable, recommendations for other organs of interest. An overarching goal herein is to enhance the rigor and reproducibility of small animal dMRI acquisitions and analyses, and thereby advance biomedical knowledge. © 2022, CC BY-NC-ND.

关键词： Invertebrates

Partial Replanning for Decentralized Dynamic Task Allocation

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arXiv 2018年

作者： Buckman, Noam How, Jonathan P. Choi, Han-Lim Laboratory for Information and Decision Systems Massachusetts Institute of Technology CambridgeMA02139 United States Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Dept. of Mechanical Engineering MIT CambridgeMA United States MIT CambridgeMA United States Div. of Aerospace Engineering KAIST Daejeon Korea Republic of

In time-sensitive and dynamic missions, multi-UAV teams must respond quickly to new information and objectives. This paper presents a dynamic decentralized task allocation algorithm for allocating new tasks that appear online during the solving of the task allocation problem. Our algorithm extends the Consensus-Based Bundle Algorithm (CBBA), a decentralized task allocation algorithm, allowing for the fast allocation of new tasks without a full reallocation of existing tasks. CBBA with Partial Replanning (CBBA-PR) enables the team to trade-off between convergence time and increased coordination by resetting a portion of their previous allocation at every round of bidding on tasks. By resetting the last tasks allocated by each agent, we are able to ensure the convergence of the team to a conflict-free solution. CBBA-PR can be further improved by reducing the team size involved in the replanning, further reducing the communication burden of the team and runtime of CBBA-PR. Finally, we validate the faster convergence and improved solution quality of CBBA-PR in multi-UAV simulations. © 2018, CC BY-NC-SA.

关键词： Human resource management

Design and Experiment of a IMC-Based PID Controller using Multiple Local Linear Models

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Design and Experiment of a IMC-Based PID Controller using Mu...

IEEE International Conference on Emerging Technologies and Factory Automation

作者： Shinichi Imai Toru Yamamoto Div. of Natural Science Technology and Information Sciences Tokyo Gakugei University Tokyo Japan Div. of Electrical Systems and Mathematical Engineering Hiroshima University Hiroshima Japan

In this paper, a new PID controller design scheme is proposed for non-linear systems. According to this scheme, the system model is first generated by using local linear models. Then, it is described a design of internal model controllers(IMC) based on the local linear models. The internal model control has a simple structure and has a high robustness for system uncertainties. However, there are few studies of IMC schemes for non-linear systems. On the other hand, lots of controlled systems have non-linearities. Finally the effectiveness of the newly proposed control scheme is experiment examples in comparison with the conventional control methods for non-linear systems.

关键词： PID Controller Multiple Local Linear Models

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark

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arXiv 2021年

作者： Wagner, Martin Müller-Stich, Beat-Peter Kisilenko, Anna Tran, Duc Heger, Patrick Mündermann, Lars Lubotsky, David M. Müller, Benjamin Davitashvili, Tornike Capek, Manuela Reinke, Annika Yu, Tong Vardazaryan, Armine Innocent Nwoye, Chinedu Padoy, Nicolas Liu, Xinyang Lee, Eung-Joo Disch, Constantin Meine, Hans Xia, Tong Jia, Fucang Kondo, Satoshi Reiter, Wolfgang Jin, Yueming Long, Yonghao Jiang, Meirui Dou, Qi Heng, Pheng Ann Twick, Isabell Kirtac, Kadir Hosgor, Enes Bolmgren, Jon Lindström Stenzel, Michael von Siemens, Björn Kenngott, Hannes G. Nickel, Felix von Frankenberg, Moritz Mathis-Ullrich, Franziska Maier-Hein, Lena Speidel, Stefanie Bodenstedt, Sebastian Department for General Visceral and Transplantation Surgery Heidelberg University Hospital Im Neuenheimer Feld 420 Heidelberg69120 Germany Heidelberg Im Neuenheimer Feld 460 Heidelberg69120 Germany Data Assisted Solutions Corporate Research & Technology KARL STORZ SE & Co. KG Dr. Karl-Storz-Str. 34 Tuttlingen78332 Germany Im Neuenheimer Feld 223 Heidelberg69120 Germany Im Neuenheimer Feld 223 Heidelberg69120 Germany Faculty of Mathematics and Computer Science Heidelberg University Im Neuenheimer Feld 205 Heidelberg69120 Germany ICube University of Strasbourg CNRS France 300 bd Sébastien Brant - CS 10413 Illkirch CedexF-67412 France IHU Strasbourg France 1 Place de l'hôpital Strasbourg67000 France Sheikh Zayed Institute for Pediatric Surgical Innovation Children's National Hospital 111 Michigan Ave NW WashingtonDC20010 United States University of Maryland College Park 2405 A V Williams Building College ParkMD20742 United States Fraunhofer Institute for Digital Medicine MEVIS Max-von-Laue-Str. 2 Bremen28359 Germany University of Bremen FB3 Medical Image Computing Group ℅ Fraunhofer MEVIS Am Fallturm 1 Bremen28359 Germany Lab for Medical Imaging and Digital Surgery Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Konika Minolta Inc. JP TOWER 2-7-2 Marunouchi Chiyoda-ku Tokyo100-7015 Japan Wintegral GmbH Ehrenbreitsteiner Str. 36 München80993 Germany Department of Computer Science and Engineering Ho Sin-Hang Engineering Building The Chinese University of Hong Kong Sha Tin NT Hong Kong Caresyntax GmbH Komturstr. 18A Berlin12099 Germany Department of Surgery Salem Hospital of the Evangelische Stadtmission Heidelberg Zeppelinstrasse 11-33 Heidelberg69121 Germany Health Robotics and Automation Laboratory Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Geb. 40.28 KIT Campus Süd Engler-Bunte-Ring 8 Karlsruhe76131 Germany Medical Faculty Heidelberg Uni

PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robotic assistance or improve training of surgeons via data-driven feedback. In surgical workflow analysis up to 91% average precision has been reported for phase recognition on an open data single-center video dataset. In this work we investigated the generalizability of phase recognition algorithms in a multi-center setting including more difficult recognition tasks such as surgical action and surgical skill. METHODS: To achieve this goal, a dataset with 33 laparoscopic cholecystectomy videos from three surgical centers with a total operation time of 22 hours was created. Labels included framewise annotation of seven surgical phases with 250 phase transitions, 5514 occurences of four surgical actions, 6980 occurences of 21 surgical instruments from seven instrument categories and 495 skill classifications in five skill dimensions. The dataset was used in the 2019 international Endoscopic Vision challenge, sub-challenge for surgical workflow and skill analysis. Here, 12 research teams trained and submitted their machine learning algorithms for recognition of phase, action, instrument and/or skill assessment. RESULTS: F1-scores were achieved for phase recognition between 23.9% and 67.7% (n=9 teams), for instrument presence detection between 38.5% and 63.8% (n=8 teams), but for action recognition only between 21.8% and 23.3% (n=5 teams). The average absolute error for skill assessment was 0.78 (n=1 team). CONCLUSION: Surgical workflow and skill analysis are promising technologies to support the surgical team, but are not solved yet, as shown by our comparison of machine learning algorithms. This novel HeiChole benchmark can be used for comparable evaluation and validation of future work. In future studies, it is of utmost impo

关键词： Learning algorithms

Implementation of GPS signal simulation for drone security using Matlab/Simulink 24

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Implementation of GPS signal simulation for drone security u...

24th IEEE International Congress on Electronics, Electrical engineering and Computing, INTERCON 2017

作者： Viet, Hoan Nguyen Kwon, Ki-Ryong Kwon, Soon-Kak Lee, Eung-Joo Lee, Suk-Hwan Kim, Chee-Yong Dept. of IT Convergence and Application Engineering Pukyong National University Pusan Korea Republic of Dept. of IT Dept. of Computer S/W Eng. Dongeui Univ Korea Republic of Dept. of Information and Comm. Eng Korea Republic of Dept. of Security Information Tongmyong University Korea Republic of Div. of Digital Contents and Game Animation Dongeui Univ Korea Republic of

ISBN: (纸本)9781509063628

In this paper, a simulation model of digital intermediate frequency (IF) GPS signal is presented. This design is developed based on mathematical model representing the digitized IF GPS signal. In details, C/A code, navigation data and P code, and the noise models are configured some initial settings simultaneously. Simulation results show that the simulated signals share the same properties with real signals (e.g. C/A code correlation properties, and the spread spectrum). The simulated GPS IF signal data can work as input for various signal processing algorithm of GPS receivers, such as acquisition, tracking, carrier-to-noise ratio (C/No) estimation, and GPS spoofing signal generation. Particularly, the simulated GPS signal can conduct scenarios by adjust SNR values of the noise generator during simulation (e.g. signal outages, sudden changes of GPS signal power), which can be used as setup experiments of spoofing/jamming interference to UAVs for drone security applications. © 2017 IEEE.

关键词： Signal to noise ratio

Dynamic Subject-Specific On-Body Communication Channel Models for WBAN

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Dynamic Subject-Specific On-Body Communication Channel Model...

5th Advanced Electromagnetics Symposium, AES 2017

作者： Rahim, H.A. Soh, P.J. Abdulmalek, M. Jusoh, M. Vandenbosch, G.A.E. Kampus Pauh Putra Perlis Malaysia Kampus Pauh Putra Perlis Malaysia Department of Engineering and Information Science University of Wollongong in Dubai Block 15 Dubai Knowledge Village Dubai United Arab Emirates ESAT-TELEMIC Research Div. Katholieke Universiteit Leuven Kasteelpark Arenberg 10 Leuven3001 Belgium

This paper presents a small-scale fading channel derivation of the dynamic and subject-specific on-body communications channel characteristics at 2.45 GHz. A slotted planar inverted F-antenna (PIFA) fixed on the right upper arm is used as the transmitting antenna is in this investigation. Results showed that the lognormal distribution provides the best fit to model the small-scale fading for on-body communication channel in a dynamic and subject-specific environment compared to Normal, Nakagami-m, Weibull and Rician distributions. © 2017 Advanced Electromagnetics Symposium. All rights reserved.

关键词： Fading channels